🧠AI/ML

AICodeReview Assistant

AI-powered code analysis

25,000+
Repositories Analyzed
98.5%
Security Accuracy
95%
Bug Prediction
15+
Languages Supported

Project Overview

The AICodeReview Assistant represents a breakthrough in automated code analysis and review processes. Built with cutting-edge AI technology, this platform has analyzed over 25,000 repositories across multiple programming languages and frameworks, providing developers with intelligent insights and security recommendations. The system integrates GPT-4 for natural language code explanations and uses advanced machine learning models to predict potential bugs and security vulnerabilities. With 98.5% accuracy in security vulnerability detection, the platform has become an essential tool for development teams prioritizing code quality and security.

Key Features

GPT-4 powered code explanation and suggestions
ML-based bug prediction with 95% accuracy
Security vulnerability detection (98.5% accuracy)
Multi-language support (Python, JavaScript, Java, Go)
Real-time code analysis and feedback
Integration with GitHub, GitLab, and Bitbucket
Customizable review rules and policies
Team collaboration and review workflows

Challenges

Processing large codebases efficiently
Ensuring AI suggestions are contextually relevant
Maintaining high accuracy across different languages
Scaling to handle enterprise-level usage

Solutions

Implemented incremental analysis with caching
Used fine-tuned models for specific programming languages
Built context-aware suggestion engine
Deployed with Kubernetes for horizontal scaling

Project Information

2024 - 2025
Team of 8
Full Stack

Technologies

PythonFastAPIGPT-4ReactTensorFlowPyTorchPostgreSQLRedisDocker
John Francis dela Vega - Senior Software Engineer